The Graduate Program in Electrical and Computer Engineering (ECE) at Rutgers University offers four degree options for graduate students to pursue advanced degrees (three master’s level and a doctorate degree). The graduate curricula includes a broad array of foundational material, ranging from computer architecture to stochastic process to digital signal processing that is intended to give graduate students the training needed to engage in state-of-the-art research. A broad selection of additional advanced classes provides students with training beneficial for engaging in industry employment upon graduation. Many master’s students are actively placed in software engineering positions in high-tech industries as well as in financial industries. Information for prospective students is given in the ECE Graduate Handbook.
The research-driven ECE doctoral program focuses on ten specializations: communications, networking, signal and information processing, computational sensing, systems and control, computer engineering, software engineering, cybersecurity, solid state electronics and the new concentration in machine learning. The program prepares graduates for leadership positions in academia and industry research laboratories. Find out more>>
This degree offers thesis and non-thesis options that provide outstanding graduate training for students who wish either to enter industry as practicing professionals or continue their studies at the doctoral level. The program offers seven specializations including communications, signal and information processing, systems and controls, computer engineering, software engineering, solid-state electronics, and a new concentration in machine learning. Through these specializations, our program combines a robust curriculum with ample opportunities for research, practical training, and forging industry connections. Find out more>>
ECE Undergraduate Students can earn a Master’s degree with as little as one additional year of classes. Students enrolled in the combined BS/MS program have the opportunity to use courses taken as undergraduates toward their MS degree, receive a one-time $1000 scholarship, complete a streamlined application, and have access to the same concentrations as MS students including the new Machine Learning concentration. Find out more>>
The ECE Graduate Program offers graduate certificates in three specialized domains: Cybersecurity, Machine Learning, and Socially Cognizant Robotics. Both the Cybersecurity and Machine Learning certificates are open to a wide range of applicants, including current Rutgers graduate students, whether they are non-degree students, MS, or PhD candidates. Additionally, US Citizens, Permanent Residents, and international candidates not currently enrolled at Rutgers are also welcome to apply. Conversely, the Socially Cognizant Robotics certificate is reserved exclusively for current graduate students at Rutgers University. Find Out More About Each Certificate>>
Labs and Research Opportunities
The electrical and computer engineering faculty are actively engaged in research in areas ranging from wireless systems to future Internet design, sensor networks, signal processing, control theory, low-power electronics, materials, hardware and software engineering, computer graphics and vision, robotics, and virtual reality technologies. Students have access to cutting-edge research laboratories, such as the Wireless Information Network Laboratory (WINLAB), and the Nanofabrication Core Facility (NCF). The graduate faculty guide students through the research process, from problem formulation to publication in top-tier journals and conferences to filing patent applications and technology transfer. Many Ph.D. students pursue careers in academia and industrial research laboratories. A full listing of the faculty and research opportunities can be found here.
To Apply: All applications go through the main graduate student portal at Rutgers University: Please see the website for procedures and visit the ECE Graduate Admissions page for deadlines.
Resources for Students: